A general rank-2 parameterization of the fundamental matrix

Francesco Isgrò, Emanuele Trucco

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


All the methods for estimating the fundamental matrix do not naturally exploit the rank-2 constraint. For these reason some few rank-2 parameterizations of the fundamental matrix have been proposed over the years. In general they can be or an over-parameterization (12 parameters) and being generally valid, or use a minimal set of parameters (eight) but do not cover all the rank-2 matrices. We propose a new rank-2 parameterization which uses only 9 parameters, one more of the minimal parameterizations, and covers all the rank-2 matrices. © 2000 IEEE.

Original languageEnglish
Pages (from-to)868-870
Number of pages3
JournalProceedings - International Conference on Pattern Recognition
Issue number1
Publication statusPublished - 2000


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